Chang Song, Beiye Liu, Chenchen Liu, Hai Helen Li, Yiran Chen
{"title":"Design techniques of eNVM-enabled neuromorphic computing systems","authors":"Chang Song, Beiye Liu, Chenchen Liu, Hai Helen Li, Yiran Chen","doi":"10.1109/ICCD.2016.7753356","DOIUrl":null,"url":null,"abstract":"The recently emerged research on “neuromorphic computing”, which stands for hardware acceleration of brain-inspired computing, has become one of the most active research areas in computer engineering. In this invited paper, we start with a background introduction of neuromorphic computing, followed by some examples of hardware acceleration schemes of learning and neural network algorithms on emerging nonvolatile memory (eNVM)-based neuromorphic computing engine. At the end, we share our prospects on the future technology challenges and advances of neuromorphic computing.","PeriodicalId":297899,"journal":{"name":"2016 IEEE 34th International Conference on Computer Design (ICCD)","volume":"4 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 34th International Conference on Computer Design (ICCD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCD.2016.7753356","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The recently emerged research on “neuromorphic computing”, which stands for hardware acceleration of brain-inspired computing, has become one of the most active research areas in computer engineering. In this invited paper, we start with a background introduction of neuromorphic computing, followed by some examples of hardware acceleration schemes of learning and neural network algorithms on emerging nonvolatile memory (eNVM)-based neuromorphic computing engine. At the end, we share our prospects on the future technology challenges and advances of neuromorphic computing.